World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5255
World Ranking
12589
National Ranking
102

Nick Bassiliades publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Nick Bassiliades sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 289 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Nick Bassiliades D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Nick Bassiliades sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Nick Bassiliades is affiliated with Aristotle University of Thessaloniki in Greece. The primary field of study is Computer Science, with a strong focus on subfields including Artificial Intelligence, Information Systems, Automotive Engineering, Management Science and Operations Research, and Computer Vision and Pattern Recognition.

Their research covers various topics, notably:

  • Semantic Web and Ontologies
  • Explainable Artificial Intelligence (XAI)
  • Topic Modeling
  • Machine Learning and Data Classification
  • Multi-Agent Systems and Negotiation
  • Data Quality and Management
  • Advanced Software Engineering Methodologies

Nick Bassiliades has published extensively, with frequent publications in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • The Knowledge Engineering Review
  • International Journal on Semantic Web and Information Systems
  • Applied Intelligence

Notable recent papers include:

  • "Argumentation and explainable artificial intelligence: a survey", 2021, The Knowledge Engineering Review
  • "Doc2KG", 2022, International Journal on Semantic Web and Information Systems
  • "A survey on semantic question answering systems", 2022, The Knowledge Engineering Review
  • "Conclusive local interpretation rules for random forests", 2022, Data Mining and Knowledge Discovery
  • "Semantic Modeling and Analysis of Natural Language System Requirements", 2022, IEEE Access

The scientist frequently collaborates with several co-authors, including:

  • Alexandros Vassiliades
  • Ioannis Mollas
  • Grigorios Tsoumakas
  • Γεώργιος Μεδίτσκος
  • Theodore Patkos

Nick Bassiliades has also contributed to book publications, with one notable title published by Springer Science+Business Media:

  • "Multi-Agent Systems and Agreement Technologies", 2020

Best Publications

  • Ontology-based sentiment analysis of twitter posts

    Efstratios Kontopoulos;Christos Berberidis;Theologos Dergiades;Nick Bassiliades

  • Managing Electric Vehicles in the Smart Grid Using Artificial Intelligence: A Survey

    Emmanouil S. Rigas;Sarvapali D. Ramchurn;Nick Bassiliades

  • An Integrated Approach to Automated Semantic Web Service Composition through Planning

    O. Hatzi;D. Vrakas;M. Nikolaidou;N. Bassiliades

  • Offline and Online Electric Vehicle Charging Scheduling With V2V Energy Transfer

    Alexandros-Michail Koufakis;Emmanouil S. Rigas;Nick Bassiliades;Sarvapali D. Ramchurn

  • BOnSAI: a smart building ontology for ambient intelligence

    Thanos G. Stavropoulos;Dimitris Vrakas;Danai Vlachava;Nick Bassiliades

  • Argumentation and explainable artificial intelligence: a survey

    Unknown

  • Structural and Role-Oriented Web Service Discovery with Taxonomies in OWL-S

    G. Meditskos;N. Bassiliades

  • A Defeasible Logic Reasoner for the Semantic Web

    Nick Bassiliades;Grigoris Antoniou;Ioannis P. Vlahavas

  • An ontology-based planning system for e-course generation

    E. Kontopoulos;D. Vrakas;F. Kokkoras;N. Bassiliades

  • A process-oriented ontology-based knowledge management system for facilitating operational procedures in public administration

    Ioannis Savvas;Nick Bassiliades

  • An adaptive personalized news dissemination system

    Ioannis Katakis;Grigorios Tsoumakas;Evangelos Banos;Nick Bassiliades

  • DR-NEGOTIATE - A system for automated agent negotiation with defeasible logic-based strategies

    Thomas Skylogiannis;Grigoris Antoniou;Nick Bassiliades;Guido Governatori

  • CoLan: a functional constraint language and its implementation

    N. Bassiliades;P. M. D. Gray

  • DR-DEVICE: A defeasible logic system for the semantic Web

    Nick Bassiliades;Grigoris Antoniou;Ioannis P. Vlahavas

  • DLEJena: A practical forward-chaining OWL 2 RL reasoner combining Jena and Pellet

    Georgios Meditskos;Nick Bassiliades

  • A Rule-Based Object-Oriented OWL Reasoner

    G. Meditskos;N. Bassiliades

  • An empirical study on sea water quality prediction

    Evaggelos V. Hatzikos;Grigorios Tsoumakas;George Tzanis;Nick Bassiliades

  • Combining community-based knowledge with association rule mining to alleviate the cold start problem in context-aware recommender systems

    Iosif Viktoratos;Athanasios Tsadiras;Nick Bassiliades

  • Rule Representation, Interchange and Reasoning on the Web

    Nick Bassiliades;Guido Governatori;Adrian Paschke

  • Rule-Based Reasoning, Programming, and Applications

    Nick Bassiliades;Guido Governatori;Adrian Paschke

  • DR-NEGOTIATE - a system for automated agent negotiation with defeasible logic-based strategies

    T. Skylogiannis;G. Antoniou;N. Bassiliades;G. Governatori

Frequent Co-Authors

Ioannis Vlahavas
Ioannis Vlahavas Aristotle University of Thessaloniki
Grigoris Antoniou
Grigoris Antoniou University of Huddersfield
Grigorios Tsoumakas
Grigorios Tsoumakas Aristotle University of Thessaloniki
Guido Governatori
Guido Governatori Central Queensland University
Sarvapali D. Ramchurn
Sarvapali D. Ramchurn University of Southampton
Adrian Paschke
Adrian Paschke Freie Universität Berlin
Ahmed K. Elmagarmid
Ahmed K. Elmagarmid Qatar Computing Research Institute
Yannis Manolopoulos
Yannis Manolopoulos University of York Europe Campus
Demetrios G. Sampson
Demetrios G. Sampson University of Piraeus
Themis Palpanas
Themis Palpanas Université Paris Cité

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Interested in advancing your Computer Science education beyond a bachelor's degree? Many professionals consider pursuing graduate-level programs that are flexible and in high demand. If you’re exploring specialization or an edge in the job market, review the best masters degree to get in tech and related fields.

For those at the start of their academic journey, exploring associates degrees online in Computer Science offers a shorter, cost-effective path to foundational skills and entry-level opportunities.

Affordability is often a consideration for students. There are numerous affordable online courses and programs that help learners upskill or re-skill without compromising quality.

If academic performance is a concern, there are online graduate programs that accept 2.0 gpa, making it possible for more students to advance their qualifications and pursue a rewarding career in technology.

Best Scientists Citing Nick Bassiliades

Trending Scientists

Recently Published Articles